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Job Overview:

Plooto is seeking a detail-oriented and proactive Data Quality Analyst to join our growing data team. This role will be crucial in establishing and maintaining data quality standards across our organization, with a primary focus on implementing and managing our Monte Carlo data observability platform. The ideal candidate will have a strong background in data analysis, a keen eye for detecting data anomalies, and experience with data catalogs and metadata management.

This position offers a unique opportunity to make a significant impact on Plooto's data quality and governance practices. The ideal candidate will combine technical expertise with a passion for data integrity to ensure the trustworthiness and reliability of Plooto's data assets.

Key Responsibilities:

1. Data Observability Implementation:
   • Lead the implementation and ongoing management of the Monte Carlo data observability platform.
   • Develop and maintain data quality metrics and monitoring processes.
   • Set up alerting systems for data quality issues across all critical data assets.
2. Data Catalog Management:
   • Assist in populating and maintaining the data catalog (Unity Catalog) with accurate and up-to-date information.
   • Collaborate with data owners across the organization to ensure comprehensive and accurate metadata.
3. Data Quality Analysis:
   • Conduct regular data quality assessments across all key data systems.
   • Identify data quality issues and work with relevant teams to resolve them.
   • Develop and implement data quality rules and checks.
4. Reporting and Documentation:
   • Create regular reports on data quality metrics and trends.
   • Maintain documentation on data quality processes, rules, and standards.
5. Cross-functional Collaboration:
   • Work closely with the Data Governance Manager and other teams to align data quality initiatives with broader data governance goals.
   • Provide guidance to other teams on data quality best practices.

Qualifications:

• Bachelor's degree in Computer Science, Information Systems, Statistics, or related field.
• 3+ years of experience in data quality management or related roles.
• Hands-on experience with data observability tools, preferably Monte Carlo.
• Strong understanding of data quality dimensions (accuracy, completeness, consistency, timeliness, validity, uniqueness).
• Proficiency in SQL and experience with data manipulation and analysis.
• Familiarity with data catalog tools and metadata management practices.
• Experience with Databricks and Unity Catalog is a plus.
• Strong analytical and problem-solving skills.
• Excellent communication skills and ability to work with cross-functional teams.

Required Experience:

• Proven experience implementing and managing data quality initiatives.
• Experience with data profiling, data cleansing, and data standardization techniques.
• Track record of improving data quality in complex data environments.

Key Skills and Attributes:

• Detail-oriented with a passion for data accuracy and integrity.
• Proactive in identifying and addressing data quality issues.
• Ability to translate technical concepts into business terms for non-technical stakeholders.
• Strong project management skills and ability to manage multiple priorities.

What We Offer:

• Opportunity to build and shape the data governance function at a growing fintech startup.
• Highly collaborative work environment with exposure to multiple aspects of the business.
• Competitive salary and benefits package.
• Professional development opportunities and the chance to grow with the company.